Introducing Advanced Issues in Partial Least Squares Structural Equation Modeling
After interpreting loadings and path coefficients, researchers encounter harder questions: layered constructs, group differences or the translation of results into priorities. Advanced Issues in PLS-SEM by Hair, Sarstedt, Ringle and Gudergan (2018) addresses those extensions rather than simply adding statistics to a report.
Start reading
Advanced Issues in Partial Least Squares Structural Equation Modeling
SAGE · First edition · 2018 · EnglishISBN 9781483377391Original book cover; the language and edition are identified alongside it.
Different extensions answer different questions
Coverage includes higher-order and nonlinear models, tetrad analysis, IPMA, observed heterogeneity and unobserved heterogeneity. The distinction matters. Higher-order modeling concerns conceptual organization; IPMA supports discussion of improvement priorities; group comparison and segmentation approach different forms of heterogeneity.
None is a compulsory decoration that makes a model advanced. Choose an extension because the research question requires it.
Read the whole decision chain
For group comparisons, read measurement invariance alongside MGA. A comparison of coefficients needs a defensible account of what measurement means across groups. Also distinguish groups defined beforehand from those discovered analytically.
For segmentation, the contents connect FIMIX-PLS, segment-number selection, PLS-POS, interpretation and segment-specific estimation. Reading the chain is more useful than selecting the smallest information criterion in isolation. Size, interpretability and robustness still need attention in the actual study.
Illustrative exercise created by Lê Minh: for a service-improvement project, read the IPMA discussion and separately describe importance and performance. Then identify a possible managerial decision and the additional evidence needed to implement it. A point on a map does not establish the causal effect of an intervention.
Prerequisites and payoff
This is a companion for readers who already understand basic PLS-SEM. Newcomers should start with the Primer. The edition introduced is the 2018 SAGE publication, so software settings require current documentation. Its strongest payoff is recognizing whether your project needs a particular extension or a return to construct definition and sampling design. That judgment matters more than the number of techniques you can run.
Choose a companion reading
Continue with: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (Third edition · English); Advanced Issues in PLS-SEM (Vietnamese translation).
Source and edition
Hair, J. F., Jr., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling. SAGE.